Study on AI-powered living health promotion campaigns tailored to U.S. communities using real-time data and personalization.
Case study: geospatial AI applied to public health in Essex County for disease mapping, resource allocation, and health equity.
Analysis of how AI could transform public health planning—including forecasting and resource allocation—while raising equity concerns.
Framework for integrating health equity considerations into AI design and deployment for public health applications.
Research on harnessing AI/ML to enhance public health surveillance: pathogen detection, outbreak forecasting, and data integration.
Review of AI applications in disease surveillance: real-time monitoring, predictive analytics, and early outbreak detection systems.
This webinar on using AI in health departments for chronic disease prevention, featuring real examples, ethical guidance, and tips to get started.
Explainer on why large language models hallucinate: mechanisms, causes, and implications for health information reliability.
Kansas Health Institute template and guidance for public health organizations to develop AI policies tailored to their context.
Content analysis of social determinants of health accelerator plans using AI/NLP to identify themes and equity gaps at scale.
Research on using generative AI to correct vaccine misinformation through targeted, personalized message interventions.
How the data center boom driven by AI risks health outcomes in vulnerable communities through noise, pollution, and energy burdens.
Study exploring generative AI applied to unstructured audio data for precision public health surveillance and health monitoring.
State enterprise responsible AI use policy: principles of accountability, transparency, fairness, and privacy for agency AI tools.
State policy governing the enterprise use and development of generative AI tools across government agencies.
Government agency generative AI policy covering acceptable use, data handling, privacy protections, and human oversight requirements.
How AI tools plus community engagement improve adolescent mental health in rural settings. Highlights digital literacy needs. Frontiers, 2025.
Michigan DTMB guidelines for ethical AI adoption: data classification, human-in-the-loop oversight, and equitable access for state agencies.
Agency policy on responsible use of AI tools: acceptable use cases, data privacy, human oversight, and documentation requirements.
ASTHO and partners explore public health AI: ethics, equity, privacy, and practical applications.